 MIT 18.06 Linear Algebra, Spring 2005  MIT OpenCourseWare This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. Keywords: systems of equations; vector spaces; positive definite matrices; matrix theory; linear algebra; determinants; eigenvalues; similarity; leastsquares approximations; stability of differential equations; networks; Fourier transforms; Markov processes Downloads: 2,417  
 MIT 18.06 Linear Algebra, Spring 2005  MIT OpenCourseWare This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. Keywords: systems of equations; vector spaces; positive definite matrices; matrix theory; linear algebra; determinants; eigenvalues; similarity; leastsquares approximations; stability of differential equations; networks; Fourier transforms; Markov processes Downloads: 244  
 MIT 18.06 Linear Algebra, Spring 2005  MIT OpenCourseWare This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. Keywords: systems of equations; vector spaces; positive definite matrices; matrix theory; linear algebra; determinants; eigenvalues; similarity; leastsquares approximations; stability of differential equations; networks; Fourier transforms; Markov processes Downloads: 236  
 MIT 18.06 Linear Algebra, Spring 2005  MIT OpenCourseWare *Please note that Lecture 4 is unavailable in a higher quality format. Instructor/speaker: Prof. Gilbert Strang View the complete course at: http://ocw.mit.edu/1806S05 This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices... Keywords: systems of equations, vector spaces, positive definite matrices, matrix theory, linear algebra, determinants, eigenvalues, similarity, leastsquares approximations, stability of differential equations, networks, Fourier transforms, Markov processes Downloads: 296,746 (2 reviews)  
 MIT 18.06 Linear Algebra, Spring 2005  MIT OpenCourseWare This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. Keywords: systems of equations, vector spaces, positive definite matrices, matrix theory, linear algebra, determinants, eigenvalues, similarity, leastsquares approximations, stability of differential equations, networks, Fourier transforms, Markov processes Downloads: 38,389 (1 review)  
 MIT 18.06SC Linear Algebra, Fall 2011 This collection contains a group of problem solving videos. Each video is led by a teaching assistant, who works through a particular linear algebra problem to show OCW users how to complete it. View the complete course at: http://ocw.mit.edu/1806SCF11 Keywords: matrix theory; linear algebra; systems of equations; vector spaces; determinants; eigenvalues; similarity; positive definite matrices; leastsquares approximations; stability of differential equations; networks; Fourier transforms; Markov processes Downloads: 20,045  
 MIT 18.06SC Linear Algebra, Fall 2011 ［MIT 18.06SC 线性代数 秋 2011］ 这是一组解题视频。每一个视频由一位助教通过一个具体的线性代数问题向开放课程读者展示如何求解。 (This collection contains a group of problem solving videos. Each video is led by a teaching assistant, who works through a particular linear algebra problem to show OCW users how to complete it.) View the complete course at: http://ocw.mit.edu/1806SCF11 Keywords: matrix theory; linear algebra; systems of equations; vector spaces; determinants; eigenvalues; similarity; positive definite matrices; leastsquares approximations; stability of differential equations; networks; Fourier transforms; Markov processes; 矩阵理论; 线性代数; 方程组; 向量空间; 行列式; 特征值; 相似; 正定矩阵; 最小平方近似; 微分方程的稳定性; 网络; 傅里叶变换; 马尔可夫过程 Downloads: 3,922  
